Since Scale Invariant Feature Transform (SIFT) algorithm is applied in the process of feature matching and problems of wide range of searching, large volumes of data and slowly running occur, a new matching method of SIFT based on overlapping area is proposed. Firstly, the method splits the matching image into two areas of bilateral. Secondly, credible matching block is selected by the voting mechanism, which reduces the original matching area. Then, SIFT is used to extract feature points of credible matching block and match elementarily. Finally, false matching pairs are removed to improve matching accuracy by Bidirectional Random Sample Consensus (BRANSAC). The experimental results show that improved SIFT algorithm of area blocking has more real-time and robustness than standard SIFT algorithm, and it has a certain value in the actual image matching.